212 results about "Current analysis" patented technology

The invention relates to the technical field of electric power regulation and control, in particular to a method and system for controlling an electric power energy storage system, and the method comprises the following steps: obtaining the voltage and current when energy storage equipment is charged, analyzing the voltage fluctuation and current change trend, recognizing a fluctuation point, and calculating the fluctuation amplitude and frequency. And judging the deviation degree between the fluctuation data and the normal operation data of the equipment to obtain an equipment stability index. According to the invention, by monitoring the voltage and current of the energy storage device during the charging period and deeply analyzing the fluctuation characteristics of the electrical parameters, the evaluation accuracy of the stability of the device, the accurate fluctuation point identification and the calculation of the fluctuation amplitude and frequency are significantly improved, and the behaviors of the device in different charging and discharging periods are allowed to be more accurately judged. And the residual capacity of the energy storage equipment is matched with the actual power demand, so that the power distribution efficiency is effectively improved.

The invention relates to the technical field of substations, and discloses a safety assessment system and method for a main grounding grid of a substation. The method comprises the following steps: arranging a multi-point potential gradient sensor for a main grounding grid of a power transmission and transformation project transformer substation and carrying out synchronous measurement to obtain an original potential gradient data set; performing effective signal and interference signal distinguishing processing on the original potential gradient data set to obtain potential distribution information of the transformer substation grounding grid; establishing a transformer substation grounding grid dynamic impedance model for fault current analysis to obtain a whole-process potential distribution diagram including an initial stage, a steady-state stage and a recovery stage; and performing security risk assessment based on the whole-process potential distribution diagram, and outputting a security risk area report. According to the invention, effective measurement signals and interference signals are effectively distinguished, reliability and accuracy of grounding grid potential measurement data in a complex electromagnetic environment are significantly improved, and accurate positioning of a risk area and effective tracking of a hazard source are realized.

The invention belongs to the technical field of fault early warning, and discloses a heater fault early warning method and system based on current analysis. Comprising the steps that transient current signals of all heating wire loops in the copper bush heater are collected in real time, harmonic characteristic parameters are extracted, and a dynamic current fingerprint database and a multi-dimensional harmonic characteristic spectrum are generated respectively; dynamically calculating the contact impedance between each heating wire and the copper sleeve groove according to the dynamic current fingerprint database and the multi-dimensional harmonic characteristic spectrum; the current distribution path of each heating wire in the copper sleeve groove is restored in real time, the abnormal contact form of each heating wire is identified, the falling risk probability and falling risk strength of each heating wire are dynamically predicted by fusing the falling precursor signals of each heating wire detected in real time, and a grading early warning strategy report is generated in real time; according to the invention, fault early warning can be converted into preventive maintenance from post-maintenance, the intelligent level of operation and maintenance of the heater is improved, and the continuity and safety of production are guaranteed.

The invention discloses a fault current analysis method and system for a multi-terminal flexible DC circuit, and the method comprises the steps: analyzing fault current data when the DC side of a modular multilevel converter is short-circuited, and obtaining time sequence segmentation rule data; performing equivalent processing on the modular multilevel converter based on the segmentation rule data to obtain an equivalent circuit model comprising an RLC series circuit and a time-varying current source; constructing a second-order differential equation for describing the fault current according to the equivalent circuit model, and solving the second-order differential equation to obtain a fault current expression containing dynamic alternating current feed-in; constructing a fault equivalent network of the multi-terminal flexible DC circuit; and constructing a state-space equation of the fault equivalent network based on a branch current method and the fault current expression, and solving the state-space equation to obtain fault current data of the multi-terminal flexible DC circuit. According to the method, the accuracy of fault analysis is improved.

The invention relates to the technical field of NV color centers, and discloses an NV color center magnetic field and current measurement method and system. The method comprises the following steps: performing decomposition and noise reduction on the two to generate target three-dimensional data, and constructing a joint response equation by combining the resonant frequency offset and the fluorescence intensity change value of the target three-dimensional data; and finally, decoupling the equation to obtain a global magnetic field estimation value, and determining a current density distribution diagram according to the value and the vacuum magnetic conductivity. According to the method, the initial signal quality is improved through the quantum coherence enhanced pulse sequence, the influence of interference such as environmental thermal noise on the magnetic field signal is effectively weakened through decomposition noise reduction and joint response equation decoupling, and the magnetic field characteristics are accurately extracted, so that high-precision data support is provided for subsequent magnetic field analysis and current density distribution determination. The technical problem that in the prior art, interference such as environmental thermal noise exists generally, so that initially-collected magnetic field signals are mixed with a large amount of noise, and follow-up magnetic field and current analysis is seriously affected is solved.

The invention relates to the technical field of electrical insulation detection, in particular to a composite insulation on-line monitoring method and device used in the running state of a middle-high voltage motor. According to the method, key parameters such as low-frequency alternating-current leakage current, voltage response characteristics and insulation resistance change values are synchronously collected through a modular monitoring terminal in the operation process of a motor, and a multi-parameter diagnosis vector is constructed by combining low-frequency leakage current analysis and direct-current excitation measurement technologies; and feature extraction, comparative analysis and health level evaluation are carried out by using an edge computing terminal, so that four-level classification of the insulation state is realized. The matched device comprises a monitoring terminal, a data communication module, an edge computing intelligent terminal and an industrial-grade touch display module, has the functions of local storage, breakpoint resume, authority management and the like, can be widely applied to operation maintenance and fault early warning of a middle-high voltage motor, and improves the operation safety and the operation and maintenance intelligent level of equipment.

The invention discloses a sample self-relay method for laboratory real-time quality control and an automatic system, and belongs to the technical field of clinical laboratory automatic quality control. According to the method, an independent quality control cycle is established for a plurality of preset key concentrations, and a concentration-bias and concentration-inaccuracy mapping table is established based on historical quality control data. Independent counting is maintained for each target concentration, when the detection number reaches the length L of the current analysis batch, quality control is automatically triggered, two patient samples with the concentrations meeting the requirements are screened from the current detection batch to serve as a self-relay quality control sample pair, and judgment is conducted according to the rule of 1-3 s after returning and re-detection. And meanwhile, querying a mapping table according to the actual concentration of the sample to calculate a sigma value, querying a preset sigma-L mapping table based on the sigma value, and dynamically updating the next analysis batch length of the target concentration. Each cycle operates independently and asynchronously to form a closed loop, so that accurate, automatic and real-time quality control of different concentrations and different frequencies is realized, and the implementation bottleneck of personalized 6 sigma quality control in cost and reliability is overcome.

The invention discloses a low-voltage cabinet and an operation environment monitoring and early warning system thereof, and belongs to the technical field of low-voltage electrical equipment monitoring. The system comprises an information acquisition module, an electromagnetic environment analysis module, an in-cabinet environment analysis module, an operation activity analysis module, a temperature-leakage current analysis module and a flow rate optimization module. A plurality of environmental coefficient and collaboration models are constructed by collecting various indexes such as electromagnetism, gas, air pressure, operation frequency and the like, temperature and leakage current thresholds are dynamically calibrated, and the air velocity in the cabinet is optimized based on a temperature-leakage current collaboration coefficient and an operation activity coefficient. The system can comprehensively sense the operation state of the low-voltage cabinet, achieves precise early warning and intelligent ventilation, and effectively improves the operation safety and energy efficiency level of equipment.

The invention relates to the technical field of motor harmonic suppression, in order to solve the known problem of motor harmonic, in particular to a PWM harmonic suppression method for a vehicle permanent magnet synchronous motor driving system, which comprises the following steps of: (1) acquiring three-phase stator current signal data of the vehicle permanent magnet synchronous motor driving system; (2) amplitude information of fundamental waves and harmonic components of all orders is extracted based on the three-phase signal data in the current analysis window; (3) constructing a plurality of PWM modulation mode candidate sets in a system control logic, and randomly generating a new candidate PWM mode according to a transition probability rule; (4) constructing a performance difference index between the current state and the candidate state for the generated candidate PWM control mode, and judging whether the candidate PWM mode is accepted as a new current state or not; (5) performing multiple rounds of global search and strategy screening, and finally enabling the system to approach the optimal PWM control state; and (6) the system generates a PWM driving signal according to the optimal strategy to drive the permanent magnet synchronous motor to operate stably.

The invention provides a picoampere-level current measuring device and method with leakage estimation and digital compensation, and the device comprises an electrometer-level operational amplifier and a transimpedance feedback network which are used for converting a measured current into a voltage signal; in combination with a retaining ring conductor driven by a retaining ring buffer and an inner and outer double-layer metal shielding structure, high-resistance node leakage and external interference are remarkably reduced. The digital controller injects 5mV-50mV micro excitation into the retaining ring in a non-sampling window and detects output response so as to estimate input equivalent leakage conductance and perform online compensation; and meanwhile, environment self-adaptive correction is carried out according to a temperature and humidity-leakage admittance model. The system adopts a 24-bit analog-to-digital converter, two-stage zero-drift amplification and multi-point linearity calibration can be switched, picoampere-level current measurement with high precision, low noise and wide dynamic range is realized, and the system is suitable for the fields of high-insulation detection, light current measurement, electrochemical micro-current analysis and the like.

The invention discloses a full-power type wind turbine generator fault occurrence moment current analysis method and related equipment, and the method comprises the steps: obtaining control parameters and operation parameters of a full-power type wind turbine generator, and when low-voltage fault ride-through is detected, substituting the control parameters and the operation parameters into a fault ride-through controller model, fault current partition logic is combined to obtain fault current analytic expressions corresponding to different fault state intervals, and then the current instruction data are substituted into the fault current analytic expressions under the corresponding fault state intervals, so that current analysis is carried out through the fault current analytic expressions and a closed-loop transfer function, and fault current analysis is carried out through the fault current analytic expressions and the closed-loop transfer function. And obtaining the fault current at the fault occurrence moment of the full-power wind turbine generator. According to the scheme, the control strategy of the active and reactive current during low voltage ride through is analyzed, and the current analysis formula of the fault occurrence moment corresponding to each fault current partition is obtained by combining different fault current partitions, so that the fault current of the unit fault occurrence moment is obtained based on the current analysis formula.

The invention relates to the field of nuclear power detection, in particular to an array wave arrival time positioning algorithm. The positioning method comprises the following steps: calculating background noise of a sampling channel; original time domain signals are processed, and the short effective value of each monitoring point is calculated in a sliding window mode; a preset threshold value is compared with the short effective value of the current analysis window, the preset threshold value is obtained by multiplying a background noise root-mean-square value RMS background by a threshold value factor k, points meeting # imgabs0 # serve as candidate points of the arrival time of the array transmitted waves of the channel, and the arrival time of the candidate points is recorded as T; based on the principle of the step 3, carrying out the recognition and elimination of accidental array waves; and after the accidental array waves are eliminated, a preliminarily determined array wave arrival time interval is obtained, and the delay time difference of the array wave arrival time is optimized. According to the method, the influence of accidental array waves can be reduced, the time positioning lag error in a conventional algorithm is reduced, the defects of a conventional array wave arrival time positioning method are overcome, and the diagnosis precision of a loose part monitoring system is improved.

The present application relates to the technical field of antifreeze for locomotive sanitary facilities, and specifically to a locomotive toilet antifreeze emptying intelligent control method and system, the method comprising: using a dynamic weighted fusion algorithm to dynamically allocate weights for multi-source locomotive toilet-related data, quantifying the dynamic risk index of multi-source locomotive toilet-related data within the current analysis period; combining the long-term risk trends and short-term risk mutations of all dynamic risk indices calculated for all collected analysis periods, and fusing the two to construct a long-term and short-term dual-modal icing risk index; and using the dual-modal icing risk index to set a multi-level threshold antifreeze mechanism strategy. The present application aims to enable locomotive toilets to dynamically adapt to extreme cold environments, reduce energy consumption, and avoid misjudgments and failures caused by static weight allocation and single indicator evaluation in traditional systems through dynamic long-term and short-term risk analysis and graded antifreeze processing of multi-source locomotive toilet-related data.

The application discloses a fault current analysis method and system of a multi-terminal flexible DC circuit, wherein the method comprises the following steps: analyzing fault current data when a modular multilevel converter DC side is short-circuited to obtain time sequence segmentation rule data; performing equivalent processing on the modular multilevel converter based on the segmentation rule data to obtain an equivalent circuit model comprising an RLC series circuit and a time-varying current source; constructing a second-order differential equation describing the fault current according to the equivalent circuit model, and solving the second-order differential equation to obtain a fault current expression containing dynamic AC feed-in; constructing a fault equivalent network of the multi-terminal flexible DC circuit; constructing a state space equation of the fault equivalent network based on a branch current method and the fault current expression, and solving the state space equation to obtain fault current data of the multi-terminal flexible DC circuit. The method improves the accuracy of fault analysis.

The invention provides a power distribution network closed-loop power regulation safety checking method, and belongs to the field of power distribution networks. The method comprises the following steps: detecting all electrical parameters of a power grid, calculating a voltage difference, a phase difference and impedance, and performing safety check according to steady-state current and impact current analysis, thereby ensuring the accuracy and safety of closed-loop power regulation of the power distribution network. The method comprises the following steps: firstly, detecting all electrical parameters at detection points before and after loop closing, then calculating the voltage difference and phase difference of the parameters, and judging whether the loop closing is reasonable or not. Furthermore, the loop impedance is calculated by measuring the voltage vector difference and predicting the loop closing current. According to the characteristics of the power grid, during each loop closing, the impedance should be updated to keep accuracy. Meanwhile, the impact current and the steady-state current are calculated and analyzed. If the security check of all key nodes is passed and the conditions in the step 2 meet the requirements, a result is obtained, and loop closing can be carried out.

The invention discloses a training method and device for an electroencephalogram data analysis model and electronic equipment. The method comprises the steps that electroencephalogram training data are collected; the electroencephalogram training data is electroencephalogram signals formed when the target object controls a cursor in a preset training graph to move according to a preset intention; analyzing the electroencephalogram training data based on the current analysis model to obtain a cursor brain control signal; the current analytical model is determined from a historical model library; determining a control result based on the current brain control proportion and the cursor brain control signal; training a preset model to obtain an electroencephalogram data analysis model, and storing the electroencephalogram data analysis model to a historical model library; meanwhile, the current brain control proportion is adjusted based on the control result, the process is repeated till training is finished, and the current analysis model after training is finished is determined as the target electroencephalogram data analysis model. According to the training method, the electroencephalogram data analysis model can be efficiently and conveniently trained, so that the model is periodically and rapidly updated, and the model in actual use can adapt to changes of physiological features of a user.

The invention discloses a DC fault current analysis and calculation method suitable for multi-type MMC converters, and the method comprises the steps: determining the topology type of an MMC converter related to a fault line, and collecting core parameters; constructing an RLC series unified equivalent circuit model of the MMC, and correcting the RLC series unified equivalent circuit model based on the topology type to obtain an equivalent circuit correction model; and determining a DC fault current based on the equivalent circuit correction model. According to the method, a technical architecture of'unified modeling + differential correction 'is constructed, multiple types of MMC converters are abstracted into an RLC basic equivalent model, local parameter correction is carried out only for fault characteristic differences of different topologies, and the tedious process of repeated modeling is effectively avoided; meanwhile, converter active current limiting strategies such as locking and negative input control are considered in the modeling process of fault current analytical calculation, the model architecture has good expansibility, various control strategies can be flexibly fused, and deep fusion of the electromagnetic transient process and the control process is achieved.

Embodiments of the present application provide a method, medium and electronic device for automatic data analysis, the method comprising: obtaining an original data file and a current analysis target; obtaining a target data table according to initial data characteristics of the original data file; obtaining updated data characteristics corresponding to the original data file according to the target data table; inputting the updated data characteristics and the current analysis target into a pre-constructed analysis method recommendation knowledge base to obtain a candidate analysis method set; performing effect simulation pre-evaluation on at least part of the analysis methods in the candidate analysis method set according to the target data table to obtain real-time performance evaluation indexes of each method; obtaining a target analysis method selected for the current analysis target based on a reinforcement learning decision model; and analyzing the target data table using the target analysis method to generate an analysis result.

The application provides a power system stability analysis method based on impedance measurement data, comprising determining that the current analysis condition is a condition corresponding to an equivalent circuit diagram based on a converter topology structure diagram, wherein a disturbance voltage source is in series or a disturbance current source is in parallel; under the current analysis condition, disturbance voltage components and disturbance current components generated on the converter side are obtained to obtain converter impedance measurement data carrying amplitudes and phase angles at several frequency points, and disturbance voltage components and disturbance current components generated on the power grid side are obtained to obtain power grid equivalent impedance measurement data carrying amplitudes and phase angles at several frequency points; the converter impedance measurement data and the power grid equivalent impedance measurement data at the same frequency point are compared, and according to each comparison result, the risk of oscillation instability of the power system is judged. The application is implemented to reduce the complexity of impedance measurement operation, thereby improving the analysis accuracy.

This application discloses a method and apparatus for constructing a parallel current source model for IGBT turn-off current analysis. The main scheme is as follows: Based on the physical nature of the IGBT turn-off current decrease process, it is revealed that it includes two synchronously occurring sub-processes (the carrier injection process and the carrier recombination reduction process corresponding to MOSFET turn-off); the IGBT turn-off current is defined as the parallel superposition of the currents (injection current and recombination current) generated by these two sub-processes; this abstract "dual current" physical theory is transformed into an equivalent circuit composed of a controlled source and a current source connected in parallel; the two sub-processes are analyzed in this way: for the first sub-process, a first relationship characterizing the dynamic evolution law of the injection current is derived; for the second sub-process, a second relationship characterizing the dynamic evolution law of the recombination current is derived; finally, by combining these two relationships, a parallel current source model for quantitatively characterizing the IGBT turn-off current decrease process is constructed.

This invention relates to the field of power management and anomaly detection technology, specifically to a method and system for detecting anomalies in multi-port charging power supplies based on current analysis. It is applied to a charging system containing multiple load power supply buses and several branch switching transistors. The method includes: extracting and sampling AC ripple current from the total current signal of the multiple load power supply buses and each branch; performing delay mapping on the AC ripple current to construct a multi-dimensional phase space matrix and calculate a Poincaré cross-section scatter plot; calculating the current topological information entropy based on the scatter distribution probability and comparing it with the baseline information entropy to generate an information entropy residual; comparing the information entropy residual with a safety manifold boundary threshold range, determining a charging anomaly when it exceeds the threshold, outputting a hardware interrupt signal to control the state of the corresponding branch switching transistor, and generating a diagnostic report containing physical feature parameters extracted based on the multi-dimensional phase space matrix. This invention enables early identification of anomalies in multi-port charging systems and rapid hardware-level response.

The utility model relates to an antistatic detection device for cloth. The antistatic detection device comprises a supporting mechanism and a measuring mechanism, the supporting mechanism comprises a bottom plate, a rotating table and a supporting plate; the rotating table is rotationally arranged on the bottom plate and is always kept in a vertical state; the supporting plate is fixed to the top of the rotating table, and the upper surface of the supporting plate is always kept in a horizontal state. The measuring mechanism comprises two measuring modules and a current analyzer; the two measuring modules are arranged on the bottom plate; the measuring module comprises a supporting column, a cross rod, an electric telescopic rod and an electrode detection head; the supporting column is vertically fixed on the bottom plate; one end of the transverse rod rotationally sleeves the upper part of the supporting column; the electric telescopic rod is vertically mounted at the end part of the outer side of the cross rod; the electrode detection head is arranged at the bottom of the electric telescopic rod; and the current analyzer is arranged on the bottom plate and is electrically connected with the two electrode detection heads. According to the utility model, the distance between the two electrode detection heads can be quickly and effectively adjusted, and meanwhile, the cloth can be rotated on the rotating table to detect different positions of the cloth.

The embodiment of the invention discloses a method and device for executing a data analysis task, a storage medium and electronic device.Firstly, structured data to be analyzed and an analysis instruction corresponding to the structured data are input into a first large language model, and an instruction analysis result output by the first large language model is obtained; the instruction analysis result is used for indicating a part required by the analysis instruction in the structured data, and then performing data extraction on the structured data according to the instruction analysis result to obtain simplified data, so as to execute a data analysis task on the serialized simplified data through the analysis instruction. Therefore, the simplified data required by the current analysis is extracted from the structured data, unnecessary data in the structured data can be removed, the resource overhead is reduced, the information density can be improved, and the accuracy of the analysis result is improved.

This invention relates to the technical field of circuit breaker analysis, specifically to an intelligent monitoring system for circuit breaker characteristics based on opening and closing identification. The system includes: a current analysis module for analyzing changes in current data of the circuit breaker at various monitoring times to obtain multiple opening and closing current characteristic indices; a temperature analysis module for analyzing changes in contact temperature data of the circuit breaker at various monitoring times to obtain multiple opening and closing temperature characteristic indices; an identification module for identifying at least one first index and at least one second index; a consistency analysis module for analyzing the consistency between the data sequences corresponding to the first index and the data sequences corresponding to the second index to obtain multiple time-related indices; and an opening / closing determination module for determining the monitoring time indicated by the current data corresponding to the largest time-related index as the opening / closing time of the circuit breaker. This invention enables accurate acquisition of the opening and closing time of the circuit breaker.

The invention belongs to the technical field of underground structure tests, and provides an underground structure hybrid test system considering stratum loss and a control method.The system comprises a numerical substructure used for determining boundary node displacement on an interaction boundary corresponding to a current analysis step; the virtual test substructure is used for calculating a boundary node force according to the boundary node displacement and the current gravity, obtaining a node force simulation value by combining a similarity coefficient, and further determining a concentrated force for loading; the test substructure is used for acquiring loading force and displacement data through concentrated force; and the parameter inversion module is used for performing inversion on the loading force and the displacement data to obtain material parameters under the current boundary condition so as to update the numerical model and the boundary node force of the test substructure and further determine the target unbalanced force, so that the interaction boundary between the structures meets displacement coordination and force balance. According to the system, refined simulation of a multi-field coupling mechanism under complex geological conditions is realized, and the stratum loss simulation accuracy is improved.

The present invention relates to a method for detecting the working conditions of pumping stations and gate stations based on current-video bidirectional analysis, comprising: obtaining a video stream of the working status of pumping station and gate station equipment, detecting frame differences in the video stream using a frame difference method, accumulating the frame differences in the video stream within a first set time, and obtaining the motion intensity within the first set time; calculating the probability of video anomalies using the motion intensity within the first set time; collecting the current values ​​of the pumping station and gate station equipment within a second set time, analyzing them, and obtaining the probability of a continuously high current, a continuously low current, a frequent current fluctuation, and a sudden current change; then combining the probabilities after current analysis to obtain the total probability of current anomalies; and fusing the video anomaly probability and the total probability of current anomalies to obtain the detection results of the working conditions of the pumping station and gate station equipment. This method has a higher accuracy rate than the detection results obtained by a single feature in the prior art, and the acquisition of video streams and current values ​​is less difficult and easy to implement, and is less affected by the external environment.

The invention discloses a sensorless field-oriented control motor driving method and device for a molecular pump, and relates to the technical field of molecular pumps, and the method comprises the steps: S1, starting a motor, and obtaining related data; s2, positioning a rotor; s3, rotor acceleration; s4, judging whether a stable condition is met or not, if so, entering S5, and otherwise, returning to S3; s5, obtaining related data; s6, whether the rotor speed reaches the standard or not is judged, if yes, S13 is executed, and if not, S7 is executed; s7, analyzing the current component and the current; s8, analyzing a back electromotive force component; s9, analyzing a rotor angle estimation value and an angular velocity estimation value; s10, outputting a voltage instruction; s11, generating and compensating a PWM driving signal; s12, driving the three-phase inverter, and returning to S5; s13, judging whether to stop or not, if so, stopping, and if not, stably operating; counter electromotive force estimation, rotor angle tracking, current control and starting and closed-loop switching processes are cooperatively designed, so that the problem of insufficient suitability of a traditional scheme in application of the molecular pump is solved, and the high-speed and high-torque requirements of the adaptive molecular pump are met.

The invention provides a network flow analysis method, device, equipment and medium, and the method comprises the steps: analyzing a packet header of any data packet, and when the packet header of any data packet is analyzed to a tunnel encapsulation layer protocol, if the tunnel encapsulation layer protocol is a multi-protocol label switching protocol, sending the packet header of any data packet to a network; the method comprises the following steps of: storing a first analysis result which comprises metadata extracted from header information of each layer of protocol which is analyzed at present when a label stack of a multi-protocol label switching protocol is analyzed and a protocol type identifier which cannot be analyzed exists in a current analysis position of the label stack of the multi-protocol label switching protocol is identified, and then returning to an initial analysis position of the label stack so as to obtain a second analysis result which comprises metadata extracted from header information of each layer of protocol which is analyzed at present; and determining a target analysis protocol from the protocol feature library, and performing analysis again from the initial analysis position to obtain a second analysis result, thereby determining a stream analysis result based on the first analysis result, the second analysis result and third analysis results of the remaining protocols. According to the embodiment of the invention, information loss in an analysis process can be avoided.

The present invention discloses an intelligent environment monitoring method, system, device and readable storage medium. The method includes: obtaining the current environment data of the totipotent laboratory, performing intelligent data processing on it to obtain accurate current environment data, and performing intelligent analysis on the accurate current environment data to obtain the current analysis result; obtaining the historical environment data of the totipotent laboratory, performing optimization processing on it, and analyzing the optimized historical environment data and the accurate current environment data using the totipotent laboratory environment prediction model to obtain the predictive analysis result; evaluating the test environment status of the totipotent laboratory based on the current analysis result and the predictive analysis result to achieve the environment monitoring of the totipotent laboratory. The present invention solves the problems that the current environment monitoring technology cannot capture the subtle changes of the environment in real time, lacks the prediction ability for future environmental condition changes, and the accuracy of the generated environmental management decisions is relatively low.

The invention relates to the technical field of power electronic devices, in particular to a lightning arrester testing device and method, and the device comprises a first chamber, a second chamber and a third chamber which are provided with a passive shielding layer and an active shielding layer. The first chamber is provided with a first acquisition unit; the second chamber is used for extracting a leakage current component and a pulse response signal component from the mixed signal output by the first acquisition unit, and calculating a resistive current according to the leakage current component; the main control unit is used for analyzing a pulse response signal component to obtain a discharge counting result, and the signal processing unit is used for receiving and transmitting an electromagnetic interference signal detected by the active shielding layer to the main control unit, responding to an elimination instruction of the main control unit and generating and outputting an anti-interference signal; and the third chamber is provided with a pulse output unit which is used for responding to a pulse output instruction of the main control unit and outputting a corresponding pulse signal to the lightning arrester, so that the technical problem that a leakage current test and a discharge counting test are difficult to carry out simultaneously by an existing lightning arrester test device is solved.